Lead Data Analyst collaborating with the Quality Assurance team at S&P Global. Managing client inquiries and leveraging advanced data manipulation skills to enhance data integrity.
About the role
- Data Analyst ensuring data quality and availability for decision-making. Primary reference for data solutions development in a hybrid work setting.
Responsibilities
- Atuar como a principal referência em dados para a squad
- Garantir a qualidade, organização e disponibilidade dos insumos necessários para tomada de decisão
- Desenvolvimento de soluções orientadas a dados
Requirements
- Experiência sólida com SQL Server (queries complexas, tuning, modelagem)
- Experiência com SSIS (ETL/ELT, integração de dados)
- Conhecimento em Python para manipulação e automação de dados
- Vivência com grandes volumes de dados e otimização de performance
- Forte conhecimento em modelagem de dados (dimensional e/ou relacional)
- Experiência com criação de views, procedures e pipelines de dados
- Diferenciais: experiência com ambientes de dados em larga escala (big data ou data lakes), conhecimento em arquitetura de dados moderna, experiência prévia em atuação em squads ágeis, familiaridade com boas práticas de governança de dados.
Benefits
- Auxílio Educacional (inglês, espanhol, graduação e pós-graduação)
- Plataforma exclusiva de IA + Academia própria de formação em Inteligência Artificial
- Marketdata Academy (Treinamentos mensais à disposição dos colaboradores)
- Parcerias com diversas instituições de ensino
- PLR e Happy Day (day off no dia do aniversário)
- Assistência Médica e Odontológica
- Auxílio home office*
- Programa interno de orientação psicológica, financeira e jurídica
- TotalPass e Ginástica Laboral
- Vale Refeição e/ou Alimentação (inclusive no mês das férias)
- Vale Transporte (opcional)
- Seguro de Vida e Banco de Horas
- Licença Maternidade/Paternidade Estendidos e Auxílio Creche
- Convênio com Cinemark
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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